Automatic Speech Recognition and Translation of a Swiss German Dialect: Walliserdeutsch
| Type of publication: | Conference paper |
| Citation: | Garner_IS_2014 |
| Publication status: | Published |
| Booktitle: | Proceedings of Interspeech |
| Year: | 2014 |
| Month: | September |
| Address: | Singapore |
| Abstract: | Walliserdeutsch is a Swiss German dialect spoken in the south west of Switzerland. To investigate the potential of automatic speech processing of Walliserdeutsch, a small database was collected based mainly on broadcast news from a local radio station. Experiments suggest that automatic speech recognition is feasible: use of another (Swiss German) database shows that the small data size lends itself to bootstrapping from other data; use of Kullback-Leibler HMM suggests that phoneme mapping techniques can compensate for a grapheme-based dictionary. Experiments also indicate that statistical machine translation is feasible; the difficulty of small data size is offset by the close proximity to (high) German. |
| Keywords: | |
| Projects: |
Idiap IM2 RECOD |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
|
Attachments
|
|
|
|
|
Notes
|
|
|
|
|
